Remote Data Engineering Manager Jobs
Remote data engineering manager jobs are in active demand at remote-first firms and distributed engineering teams across the U.S., with strong hiring in tech, fintech, and healthcare data. Employers posting remote openings right now include AECOM, Eaton, and New York City Department of Health and Mental Hygiene. Scan the live roles below and apply to whichever ones fit.
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Showing 5 of 117+ Remote Data Engineering Manager jobs
Fidelity will not provide immigration sponsorship for this position.
Job Description:
The Role
Are you passionate about building the platforms that power the future of workforce intelligence? We are seeking a hands-on Director of Data Engineering to help design and scale the data, graph, and AI foundations behind our workforce intelligence platform. This senior individual contributor role combines architecture, engineering, and platform development while remaining deeply hands-on in coding and solution delivery. You will partner with data scientists, machine learning engineers, and business leaders while building capabilities that enable innovative analytics and AI-powered experiences.
The Expertise and Skills You Bring
You bring deep expertise in modern data engineering and platform architecture, along with a passion for building scalable, reliable, and secure data ecosystems.
Data and Platform Engineering
- Designing and implementing cloud-native data platforms and services.
- Building scalable APIs, pipelines, and data products using technologies such as Python, SQL, AWS, and modern cloud-native tooling.
- Working with containerized workloads, orchestration frameworks, distributed processing technologies, and software engineering best practices.
Graph and AI Foundations
- Developing graph-based solutions and connected-data architectures.
- Supporting machine learning, embedding, vector search, and AI workloads.
- Enabling workforce intelligence products through scalable platforms and services.
Representative Technologies
- Python
- SQL
- AWS
- Neo4j (preferred)
- Kubernetes and container technologies
- Data orchestration and distributed processing platforms
Preferred Experience
- Workforce, talent, HR, or enterprise analytics domains.
Education
- Bachelor’s degree or equivalent experience in Computer Science, Engineering, or another quantitative discipline.
The Team
The People Analytics and Insights organization helps Fidelity make better decisions through data, analytics, and emerging technologies. We are building a workforce intelligence platform that connects workforce data, skills, experiences, organizational relationships, and AI capabilities to enable better decisions and experiences for associates, managers, and business leaders. We partner closely with Human Resources, business leaders, and technology teams to deliver innovative products, advanced analytics, and AI-powered solutions.
Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.
Fidelity’s Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.
Placement in the range will vary based on job responsibilities and scope, geographic location, candidate’s relevant experience, and other factors.
Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.
We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted.
Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.
Certifications:
Category:
Information TechnologyFidelity will not provide immigration sponsorship for this position.
Job Description:
The Role
Are you passionate about building the platforms that power the future of workforce intelligence? We are seeking a hands-on Director of Data Engineering to help design and scale the data, graph, and AI foundations behind our workforce intelligence platform. This senior individual contributor role combines architecture, engineering, and platform development while remaining deeply hands-on in coding and solution delivery. You will partner with data scientists, machine learning engineers, and business leaders while building capabilities that enable innovative analytics and AI-powered experiences.
The Expertise and Skills You Bring
You bring deep expertise in modern data engineering and platform architecture, along with a passion for building scalable, reliable, and secure data ecosystems.
Data and Platform Engineering
- Designing and implementing cloud-native data platforms and services.
- Building scalable APIs, pipelines, and data products using technologies such as Python, SQL, AWS, and modern cloud-native tooling.
- Working with containerized workloads, orchestration frameworks, distributed processing technologies, and software engineering best practices.
Graph and AI Foundations
- Developing graph-based solutions and connected-data architectures.
- Supporting machine learning, embedding, vector search, and AI workloads.
- Enabling workforce intelligence products through scalable platforms and services.
Representative Technologies
- Python
- SQL
- AWS
- Neo4j (preferred)
- Kubernetes and container technologies
- Data orchestration and distributed processing platforms
Preferred Experience
- Workforce, talent, HR, or enterprise analytics domains.
Education
- Bachelor’s degree or equivalent experience in Computer Science, Engineering, or another quantitative discipline.
The Team
The People Analytics and Insights organization helps Fidelity make better decisions through data, analytics, and emerging technologies. We are building a workforce intelligence platform that connects workforce data, skills, experiences, organizational relationships, and AI capabilities to enable better decisions and experiences for associates, managers, and business leaders. We partner closely with Human Resources, business leaders, and technology teams to deliver innovative products, advanced analytics, and AI-powered solutions.
Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.
Fidelity’s Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.
Placement in the range will vary based on job responsibilities and scope, geographic location, candidate’s relevant experience, and other factors.
Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.
We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted.
Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.
Certifications:
Category:
Information TechnologySee All 117+ Remote Data Engineering Manager Jobs
Find roles that match your experience and apply in just a few clicks.
Find JobsRemote Data Engineering Manager Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software
- Healthcare & Medical Services
- Retail
- Manufacturing
- Investment & Asset Management
What Employers Look For
The qualifications that appear most often in remote data engineering manager jobs.
- 5 or more years of experience in data engineering with at least 2 years in a management role
- Proficiency with cloud platforms such as AWS, GCP, or Azure and their managed data services
- Hands-on experience building and maintaining batch and streaming data pipelines at production scale
- Familiarity with modern data stack tools including dbt, Airflow, Spark, Kafka, or equivalent
- Experience with data warehousing solutions such as Snowflake, BigQuery, or Redshift
- Bachelor's degree in computer science, engineering, or a related technical field
Tips for Your Remote Data Engineering Manager Job Search
Apply early to remote roles that fit
Migrate Mate lists remote data engineering manager openings from across the U.S. in one place. Check regularly and apply directly to the roles that match your stack and team-size experience before postings close.
Document your async leadership style clearly
Remote hiring managers look for evidence you can lead without in-person oversight. Write up how you run sprint reviews, make architecture decisions, and unblock engineers asynchronously. Put this in your resume summary or a short leadership statement.
Show your data platform depth upfront
Remote data engineering manager roles move fast in screening. List your hands-on experience with orchestration tools like Airflow or Dagster, transformation layers like dbt, and cloud warehouses like BigQuery or Snowflake in the first third of your resume.
Prepare for written take-home assessments
Many remote-first companies replace live whiteboard rounds with written design exercises. Practice writing a clear data architecture proposal or incident postmortem in plain language, because remote employers treat your written output as a direct signal of how you'll communicate on the job.
Remote Data Engineering Manager Jobs: Frequently Asked Questions
How do I get a remote data engineering manager job?
Target companies built around distributed teams: remote-first SaaS firms, cloud-native startups, and data-heavy enterprises that run engineering entirely across time zones. Remote employers screen hard for async written communication, self-direction, and hands-on depth in tools like dbt, Spark, Airflow, and cloud data platforms. A portfolio of shipped pipelines, documented decisions, and cross-functional impact written up clearly will separate you from candidates with similar titles.
Which companies hire remote data engineering managers?
Remote data engineering manager roles are posted by AECOM, Eaton, and New York City Department of Health and Mental Hygiene and others right now, based on current remote listings on Migrate Mate as of November 2026. Remote-first tech companies, fintech platforms, and healthcare data organizations make up the largest share of these postings, since their engineering teams are already distributed by design.
Can you get a remote data engineering manager job with no experience?
Yes, but remote data engineering manager roles without prior management experience are harder to land because remote work demands independent judgment from day one. Early paths include leading small data projects at a startup, taking on unofficial team-lead responsibilities in a current role, or building a visible record of technical mentorship. Remote-first companies hiring junior managers look for proof of self-direction and documented outcomes more than a formal management title.
Do you need a degree for remote data engineering manager jobs?
Not always. Remote employers hiring data engineering managers weigh demonstrated engineering output, pipeline architecture decisions, and team leadership results alongside or instead of a degree. A strong GitHub history, certifications in cloud platforms like AWS or GCP, and a record of managing or growing data engineers carry real weight. Several remote-first firms explicitly list degrees as preferred rather than required.
Which industries hire the most remote data engineering managers?
The sectors hiring the most remote data engineering managers are Technology & Software, Healthcare & Medical Services, and Retail, based on current remote listings on Migrate Mate as of November 2026. These sectors rely on distributed engineering teams that process data at scale, making remote data engineering manager hires a practical fit rather than an exception.
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